CustomSurg OrthoPlanner is a software system designed to help surgeons carry out pre-operative planning for surgical procedures, based on their patients’ imaging studies. The software imports diagnostic imaging studies such as x-rays and CT images. In parallel, there is a database of digital representations related to implant materials supplied by their producing companies. The software can process an imported 3D model of the patient’s CT scan to digitally perform the surgical planning. Experience in usage and a clinical assessment are necessary for proper use of the software. CustomSurg OrthoPlanner is to be used in conjunction with the planned device’s instructions for use, the patient’s clinical history, symptoms, and other pre-procedural evaluations by a surgeon who is responsible for making all final patient management decisions. It is not intended to replace the planned device’s instructions for use.
Device Story
Web-based software for orthopedic pre-surgical planning; imports patient X-ray and CT images; integrates database of digital implant representations. Surgeon uploads data, performs digital planning, and receives 3D visualization of the surgical plan. Used in clinical settings by surgeons to support pre-operative decision-making; does not perform diagnostic evaluations; lacks intra-operative functionality. Surgeon remains responsible for final patient management decisions; software used in conjunction with patient clinical history and planned device instructions.
Clinical Evidence
Bench testing only. Internal verification and validation testing confirmed product specifications were met; all acceptance criteria achieved. Risk analysis performed per ISO 14971.
Technological Characteristics
Web-based medical software; musculoskeletal orthopedic planning; 3D model processing; digital implant representation database. No AI/ML algorithms. Requires internet connection. Software design and development conducted under ISO 14971 risk management and internal design control processes.
Indications for Use
Indicated for orthopedic pre-surgical planning in the musculoskeletal system. Intended for use by surgeons in a healthcare environment to assist in planning procedures using patient imaging studies (X-ray, CT). Requires clinical assessment and judgment by a surgeon.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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FDA U.S. FOOD & DRUG ADMINISTRATION
July 7, 2025
CustomSurg AG
% Prithul Bom
Most Responsible Person
Regulatory Technology Services, LLC
1000 Westgate Drive,
Suite 510k
SAINT PAUL, MINNESOTA 55114
Re: K251863
Trade/Device Name: CustomSurg OrthoPlanner
Regulation Number: 21 CFR 892.2050
Regulation Name: Medical image management and processing system
Regulatory Class: Class II
Product Code: LLZ
Dated: June 17, 2025
Received: June 17, 2025
Dear Prithul Bom:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
U.S. Food & Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993
www.fda.gov
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K251863 - Prithul Bom
Page 2
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-
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K251863 - Prithul Bom
Page 3
assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,

Jessica Lamb, Ph.D.
Assistant Director, Imaging Software Team
DHT8B: Division of Radiological Imaging Devices and Electronic Products
OHT8: Office of Radiological Health
Office of Product Evaluation and Quality
Center for Devices and Radiological Health
Enclosure
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CustomSurg OrthoPlanner
Page 7 of 28
| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This
textbox will be left blank for original applications/submissions. | K251863 | ? |
| Please provide the device trade name(s). | | ? |
| CustomSurg OrthoPlanner | | |
| Please provide your Indications for Use below. | | ? |
| CustomSurg OrthoPlanner is a software system designed to help surgeons carry out pre-operative planning
for surgical procedures, based on their patients’ imaging studies.
The software imports diagnostic imaging studies such as x-rays and CT images. In parallel, there is a
database of digital representations related to implant materials supplied by their producing companies.
The software can process an imported 3D model of the patient’s CT scan to digitally perform the surgical
planning. Experience in usage and a clinical assessment are necessary for proper use of the software.
CustomSurg OrthoPlanner is to be used in conjunction with the planned device’s instructions for use, the
patient’s clinical history, symptoms, and other pre-procedural evaluations by a surgeon who is responsible
for making all final patient management decisions.
It is not intended to replace the planned device’s instructions for use. | | |
| Please select the types of uses (select one or both, as
applicable). | ☑ Prescription Use (Part 21 CFR 801 Subpart D)
☐ Over-The-Counter Use (21 CFR 801 Subpart C) | |
{4}
510(k) #: K251863
510(k) Summary
Prepared on: 2025-06-01
| Contact Details | 21 CFR 807.92(a)(1) |
| --- | --- |
| Applicant Name | CustomSurg AG |
| Applicant Address | Bubenbergstrasse 1 Zurich ZH 8045 Switzerland |
| Applicant Contact Telephone | +41786278853 |
| Applicant Contact | Dr. Thomas Zumbrunn |
| Applicant Contact Email | thomas@customsurg.com |
| Device Name | 21 CFR 807.92(a)(2) |
| Device Trade Name | CustomSurg OrthoPlanner |
| Common Name | Medical image management and processing system |
| Classification Name | System, Image Processing, Radiological |
| Regulation Number | 892.2050 |
| Product Code(s) | LLZ |
| Legally Marketed Predicate Devices | 21 CFR 807.92(a)(3) |
| Predicate # | Predicate Trade Name (Primary Predicate is listed first) |
| K182464 | PeekMed |
| Product Code | LLZ |
| Device Description Summary | 21 CFR 807.92(a)(4) |
| CustomSurg OrthoPlanner is a medical software that supports surgeons in orthopedic pre-surgical planning in the musculoskeletal system in a healthcare environment.
It is a web-based application that allows surgeons to upload the required data, provide details of planning the surgery and receive 3D visualization of the submitted plan. To properly use the device, clinical judgment and experience is mandatory and it shall be used in conjunction with diagnostic tools. CustomSurg OrthoPlanner does not perform any diagnostic evaluations and will not have intra-operative functionality. | |
| Intended Use/Indications for Use | 21 CFR 807.92(a)(5) |
| CustomSurg OrthoPlanner is a software system designed to help surgeons carry out pre-operative planning for surgical procedures, based on their patients' imaging studies.
The software imports diagnostic imaging studies such as x-rays and CT images. In parallel, there is a database of digital representations related to implant materials supplied by their producing companies.
The software can process an imported 3D model of the patient's CT scan to digitally perform the surgical planning. Experience in usage and a clinical assessment are necessary for proper use of the software.
CustomSurg OrthoPlanner is to be used in conjunction with the planned device's instructions for use, the patient's clinical history, symptoms, and other pre-procedural evaluations by a surgeon who is responsible for making all final patient management decisions.
It is not intended to replace the planned device's instructions for use. | |
| Indications for Use Comparison | 21 CFR 807.92(a)(5) |
| CustomSurg believes the CustomSurg OrthoPlanner is substantially equivalent to the predicate device based on the information summarized below. | |
{5}
Indications for Use Comparison
The differences between the indications for use of PeekMed and CustomSurg OrthoPlanner are:
- PeekMed supports importing medical images directly from PACS while CustomSurg OrthoPlanner does not have a direct PACS interface.
- PeekMed supports the use of MRI medical images while CustomSurg OrthoPlanner does not.
The differences specified above do not constitute a new intended purpose because they only regard clinically irrelevant features, the image import feature. The intended purpose of both the device and its predicate is to serve as a support tool for surgery planning. It can be concluded that the differences do not raise new questions of safety and effectiveness of the device compared to the predicate.
## Technological Comparison
21 CFR 807.92(a)(6)
Technological Comparison
The device and its predicate are both medical software that allow surgeons to perform orthopedic pre-surgical planning in the musculoskeletal system in a healthcare environment, therefore share the same intended use, same intended user and a similar intended population. To properly use both devices, clinical judgment and experience is mandatory. Both devices have similar workflows, use requirements (e.g. internet connection, output validation), planning features (e.g., model representation, digital representation of prosthetic material). Neither the device nor its predicate use artificial intelligence (AI).
All technological characteristics of the CustomSurg OrthoPlanner have been substantiated by the predicate device. Any technological differences have been assessed and determined to not raise new questions of safety and effectiveness. As such, the CustomSurg OrthoPlanner and PeekMed have been determined to be substantially equivalent.
## Non-Clinical and/or Clinical Tests Summary & Conclusions
21 CFR 807.92(b)
Results from internal verification and validation testing performed in accordance with CustomSurg's design control processes confirm that the CustomSurg OrthoPlanner product specifications have been met. Acceptance criteria were achieved for all tests. Supporting documentation is included in this 510(k) Premarket Notification and supports the claims of substantial equivalence to the predicate device.
A risk analysis in accordance with ISO 14971 was completed as part of the software design and development effort.
Not Applicable
CustomSurg OrthoPlanner, as designed and developed by CustomSurg AG, is determined to be substantially equivalent to the predicate device. Differences between the two devices do not raise new questions about the safety and effectiveness of CustomSurg OrthoPlanner.
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Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.